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1.
Hum Genomics ; 18(1): 56, 2024 Jun 03.
Article in English | MEDLINE | ID: mdl-38831447

ABSTRACT

BACKGROUND: Several lines of evidence suggest that leukocyte telomere length (LTL) can affect the development of prostate cancer (PC). METHODS: Here, we employed single nucleoside polymorphisms (SNPs) as instrumental variables (IVs) for LTL (n = 472,174) and conducted Mendelian randomization analysis to estimate their causal impact on PCs (79,148 patients/61,106 controls and 6311 patients/88,902 controls). RESULTS: Every 1-s.d extension of LTL increased the risk of PCs by 34%. Additionally, the analysis of candidate mediators between LTL and PCs via two-step Mendelian randomization revealed that among the 23 candidates, Alzheimer's disease, liver iron content, sex hormone binding global levels, naive CD4-CD8-T cell% T cell, and circulating leptin levels played substantial mediating roles. There is no robust evidence to support the reverse causal relationship between LTL and the selected mediators of PCs. Adjusting for the former four mediators, rather than adjusting for circulating leptin levels, decreased the impact of LTL on PCs. CONCLUSION: This study provides potential intervention measures for preventing LTL-induced PCs.


Subject(s)
Leukocytes , Mendelian Randomization Analysis , Polymorphism, Single Nucleotide , Prostatic Neoplasms , Telomere , White People , Humans , Male , Prostatic Neoplasms/genetics , Prostatic Neoplasms/pathology , Leukocytes/metabolism , Polymorphism, Single Nucleotide/genetics , White People/genetics , Telomere/genetics , Telomere Homeostasis/genetics , Leptin/genetics , Leptin/blood , Genetic Predisposition to Disease , Aged , Middle Aged
2.
Small ; : e2311071, 2024 Apr 19.
Article in English | MEDLINE | ID: mdl-38639331

ABSTRACT

Prostate cancer (PCa) has become a public health concern in elderly men due to an ever-increasing number of estimated cases. Unfortunately, the available treatments are unsatisfactory because of a lack of a durable response, especially in advanced disease states. Extracellular vesicles (EVs) are lipid-bilayer encircled nanoscale vesicles that carry numerous biomolecules (e.g., nucleic acids, proteins, and lipids), mediating the transfer of information. The past decade has witnessed a wide range of EV applications in both diagnostics and therapeutics. First, EV-based non-invasive liquid biopsies provide biomarkers in various clinical scenarios to guide treatment; EVs can facilitate the grading and staging of patients for appropriate treatment selection. Second, EVs play a pivotal role in pathophysiological processes via intercellular communication. Targeting key molecules involved in EV-mediated tumor progression (e.g., proliferation, angiogenesis, metastasis, immune escape, and drug resistance) is a potential approach for curbing PCa. Third, EVs are promising drug carriers. Naïve EVs from various sources and engineered EV-based drug delivery systems have paved the way for the development of new treatment modalities. This review discusses the recent advancements in the application of EV therapies and highlights EV-based functional materials as novel interventions for PCa.

3.
Neurourol Urodyn ; 42(3): 650-661, 2023 03.
Article in English | MEDLINE | ID: mdl-36705067

ABSTRACT

AIMS: To propose a novel S.I.S technique during the robotic-assisted radical prostatectomy (RARP), encompassing pubourethral suspension, posterior wall intensification, and bladder neck stripping, and to present functional and oncological outcomes with a special focus on long-term continence. METHODS: From January 1, 2018, to December 31, 2019, consecutive patients who underwent RARP were retrospectively investigated and separated into the S.I.S group and the conventional group. Preoperative patient characteristics, tumor status, and perioperative parameters were collected, followed by the assessment of self-reported status on continence, using an International Consultation on Incontinence Modular Questionnaire-urinary incontinence short form (ICIQ-UI-SF). Statistical comparisons were performed on variables between the two surgery groups, and multivariate logistic regression analysis was used to determine predictive factors for postoperative incontinence severity. RESULTS: A total of 602 subjects were analyzed with a median follow-up of 24 months. There was no significant difference regarding baseline characteristics and perioperative parameters, except for a more advanced tumor stage in the S.I.S group. The application of the S.I.S technique did not jeopardize the positive surgical margin rate at the bladder neck or long-term tumor control. Notably, the patient-reported degree of incontinence was significantly reduced with the assistance of S.I.S technique, as evidenced by the diminished severe-to-very severe cases. On multivariate analysis, both preoperative body mass index and use of S.I.S modification were independent predictive factors for the long-term incontinence severity. CONCLUSIONS: The application of S.I.S technique during RARP is feasible and superior compare with the conventional approach, with a significantly alleviated long-term incontinence severity, without compromising cancer control.


Subject(s)
Robotic Surgical Procedures , Urinary Incontinence , Male , Humans , Robotic Surgical Procedures/adverse effects , Robotic Surgical Procedures/methods , Retrospective Studies , Treatment Outcome , Urinary Bladder/surgery , Prostatectomy/adverse effects , Prostatectomy/methods
4.
Small Methods ; : e2301684, 2024 Jan 23.
Article in English | MEDLINE | ID: mdl-38258603

ABSTRACT

Prostate cancer (PCa) is the second most common cancer in males worldwide. The Gleason scoring system, which classifies the pathological growth pattern of cancer, is considered one of the most important prognostic factors for PCa. Compared to indolent PCa, PCa with high Gleason score (h-GS PCa, GS ≥ 8) has greater clinical significance due to its high aggressiveness and poor prognosis. It is crucial to establish a rapid, non-invasive diagnostic modality to decipher patients with h-GS PCa as early as possible. In this study, ferric nanoparticle-assisted laser desorption/ionization mass spectrometry (FeNPALDI-MS) to extract prostate fluid metabolic fingerprint (PSF-MF) is employed and combined with the clinical features of patients, such as prostate-specific antigen (PSA), to establish a multi-modal diagnosis assisted by machine learning. This approach yields an impressive area under the curve (AUC) of 0.87 to diagnose patients with h-GS, surpassing the results of single-modal diagnosis using only PSF-MF or PSA, respectively. Additionally, using various screening methods, six key metabolites that exhibit greater diagnostic efficacy (AUC = 0.96) are identified. These findings also provide insights into related metabolic pathways, which may provide valuable information for further elucidation of the pathological mechanisms underlying h-GS PCa.

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